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Developer Documentation

Getting Started

Prerequisites

  • devbox
  • Python (3.12.2)
  • pip

Setting up the Development Environment

Install the devbox CLI tool if you haven't already. You can install it using the following command:

curl -fsSL https://get.jetpack.io/devbox | bash

Built with Devbox

Setting up Development Environment

Clone the repository:

git clone [email protected]:anevis/json-to-markdown.git

cd json-to-markdown-converter

Start the development environment:

devbox shell

Install the required packages:

From within devbox shell

pip install -r requirements.txt

From outside devbox shell

devbox run install

Code Structure

The functionality can be used in the command line or in Python code.

To use the functionality in Python code, you can import the MDConverter class from the yaml_to_markdown.md_converter module. The md_converter.py file contains the MDConverter class, which is used by the convert function to perform the conversion.

To use the functionality from the command line, you can run the convert.py script in the yaml_to_markdown directory. This file contains the convert function, which takes a JSON or YAML file and converts it to Markdown.

Testing

Tests for the project are located in the *_test.py files. These tests use the Pytest and Mock libraries to test the functionality of the convert function and the MDConverter class.

Running the Tests

You can run the tests with the following command:

From within devbox shell

pytest src/

From outside devbox shell

devbox run test

With Coverage, the coverage report will be generated in the coverage.xml file.

devbox run test-cov

Linting & Formatting

The project uses the Black and Flake8 libraries for code formatting and linting. You can run the following commands to format and lint the code:

From within devbox shell

black src/
flake8 src/

From outside devbox shell

devbox run format
devbox run lint

You can use devbox run format-check to check if the code is formatted correctly without making any changes.

Contributing

We welcome contributions to this project. Please feel free to submit a pull request or open an issue on GitHub.

License

This project is licensed under the MIT License - see the LICENSE file for details.